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Spectral imaging - Wikipedia
Spectral imaging is imaging that uses multiple bands across the electromagnetic spectrum. [1] . While an ordinary camera captures light across three wavelength bands in the visible spectrum, red, green, and blue (RGB), spectral imaging encompasses a wide variety of …
Spectral imaging with deep learning | Light: Science & Applications
2022年3月16日 · In this article, we review state-of-the-art deep-learning-empowered computational spectral imaging methods. They are further divided into amplitude-coded, phase-coded, and wavelength-coded...
[CVPR 2022 & NTIRE 冠军] 首个高光谱图像重建Transformer
2023年12月3日 · MST 与 MST++ 占据了左上角,参数量也非常小,实现多快好省的高光谱图像重建。 文章一:《Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction》 paper: code: 本文介绍我们近期的两篇文章 MST 与 MST++,其中MST已被 CVPR 2022 接收,MST++ 被 CVPRW 2022 接收,并在 NTIRE 2022 Spectral Reconstruction Challlenge 中取得第一名。 先验货,MST 与 MST++ 与 SOTA 方法对比…
Spectral imaging: Principles and applications - Garini - 2006 ...
Spectral imaging extends the capabilities of biological and clinical studies to simultaneously study multiple features such as organelles and proteins qualitatively and quantitatively. Spectral imaging combines two well-known scientific methodologies, namely spectroscopy and imaging, to provide a new advantageous tool.
ZEISS Microscopy Online Campus | Introduction to Spectral Imaging
Unlike a typical image, which is acquired over the entire wavelength response band of the detector, a spectral image requires the creation of a three-dimensional data set that contains a collection of images of the same viewfield captured at different wavelengths or wavebands.
Enhancing spectral imaging with multi-condition image fusion
2025年1月28日 · Similarly, for LIBS technique, we selected one spectral line for each relevant chemical element (Table 1, with resulting images and typical spectrum in the supplementary material). The intensities ...
Deep learning in spectral analysis: Modeling and imaging
2024年3月1日 · Spectral imaging reconstruction primarily aims to use neural networks to restore low-quality spectral images to high-quality ones. This process includes tasks such as artifact removal, noise reduction, and resolution enhancement.
Spectral Imaging: Methods, Design, and Applications
2012年1月1日 · Spectral imaging is a relatively new field in which the advantages of optical spectroscopy as an analytical tool are combined with the power of object visualization as obtained by optical imaging; it creates a three-dimensional data set that contains many images of the same object, where each one of them is measured at a different wavelength.
Snapshot spectral imaging with parallel metasystems
2020年9月18日 · Here, we propose and experimentally demonstrate a snapshot spectral imager using a parallel optical processing paradigm based on arrays of metasystems. Our multi-aperture spectral imager weighs less than 20 mg and simultaneously acquires 20 image channels across the 795- to 980-nm spectral region.
Superpixel guided spectral-spatial feature extraction and …
2025年1月28日 · Hyperspectral images are images with rich spatial and spectral information obtained by a hyperspectral imaging spectrometer. Compared with ordinary remote sensing images, hyperspectral images have ...